Hybrid-Pattern Recognition Modeling with Arrhythmia Signal Processing for Ubiquitous Health Management

We established a web-based ubiquitous health management (UHM) system, “ECG4UHM”, for processing ECG signals with AI-enabled models to recognize hybrid arrhythmia patterns, including atrial premature atrial complex (APC), atrial fibrillation (AFib), ventricular premature complex (VPC), and ventricula...

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Detalles Bibliográficos
Autores principales: Hsiao, Wei-Ting, Kan, Yao-Chiang, Kuo, Chin-Chi, Kuo, Yu-Chieh, Chai, Sin-Kuo, Lin, Hsueh-Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781616/
https://www.ncbi.nlm.nih.gov/pubmed/35062650
http://dx.doi.org/10.3390/s22020689

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781616/
https://www.ncbi.nlm.nih.gov/pubmed/35062650
http://dx.doi.org/10.3390/s22020689

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